As AI is increasingly being adopted into application solutions, the challenge of supporting
interaction with humans is becoming more apparent. Partly this is to support integrated …

This paper discusses the implications of autonomous self*(self-configuring, self-healing,
selfoptimizing and self-protecting) systems for the development of the electrical smart grids …

It is particularly challenging to devise techniques for underpinning the behaviour of
autonomous vehicles in surveillance missions as these vehicles operate in uncertain and …

With the increasing scale of offshore wind farm development, maintaining farms efficiently
and safely becomes a necessity. The length of turbine downtime and the logistics for human …

We present an integrated Task-Motion Planning (TMP) framework for navigation in large-
scale environments. Of late, TMP for manipulation has attracted significant interest resulting …

We present an integrated Task-Motion Planning (TMP) framework for navigation in large-
scale environment. Autonomous robots operating in real world complex scenarios require …

We present a principled way of extending a classical AI planning formalism with systems of
state constraints, which relate-sometimes determine-the values of variables in each state …

Most applications of planning to real problems involve complex and often non-linear
equations, including matrix operations. PDDL is ill-suited to express such calculations since …

Search and tracking is the problem of locating a moving target and following it to its
destination. In this work, we consider a scenario in which the target moves across a large …

Autonomous robots operating in large knowledgeintensive domains require planning in the
discrete (task) space and the continuous (motion) space. In knowledge-intensive domains …